Kafait Ullah

Prof. Dr. Kafait Ullah

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Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 October 2017 in Renewable and Sustainable Energy Reviews
Verified
Journal Article
Open access
TQTahir Masood Qureshi
Tahir Masood Qureshi
KUKafait Ullah
Kafait Ullah
MAMaarten J. Arentsen
Maarten J. Arentsen

23 July 2020 in Sustainability
Verified
Journal Article
Open access
PDF file
AMAneeque A. Mir
Aneeque A. Mir
MAMohammed Alghassab
Mohammed Alghassab
KUKafait Ullah
Kafait Ullah
Zafar KhanZafar Khan
Zafar Khan
YLYuehong Lu
Yuehong Lu
Muhammad ImranMuhammad Imran
Muhammad Imran
With the globally increasing electricity demand, its related uncertainties are on the rise as well. Therefore, a deeper insight of load forecasting techniques for projecting future electricity demands becomes imperative for business entities and policy makers. The electricity demand is governed by a set of different variables or “electricity demand determinants”. These demand determinants depend on forecasting horizons (long term, medium term, and short term), the load aggregation level, climate, and socio-economic activities. In this paper, a review of different electricity demand forecasting methodologies is provided in the context of a group of low and middle income countries. The article presents a comprehensive literature review by tabulating the different demand determinants used in different countries and forecasting the trends and techniques used in these countries. A comparative review of these forecasting methodologies over different time horizons reveals that the time series modeling approach has been extensively used while forecasting for long and medium terms. For short term forecasts, artificial intelligence-based techniques remain prevalent in the literature. Furthermore, a comparative analysis of the demand determinants in these countries indicates a frequent use of determinants like the population, GDP, weather, and load data over different time horizons. Following the analysis, potential research gaps are identified, and recommendations are provided, accordingly.

1 August 2019 in Energy Strategy Reviews
Verified
Journal Article
Open access
FMFaisal Mehmood Mirza
Faisal Mehmood Mirza
NFNishat Fatima
Nishat Fatima
KUKafait Ullah
Kafait Ullah

1 August 2020 in Journal of Cleaner Production
Verified
Journal Article
Closed access
MSMuhammad Shahid
Muhammad Shahid
KUKafait Ullah
Kafait Ullah
KIKashif Imran
Kashif Imran
IMImran Mahmood
Imran Mahmood
AMArshad Mahmood
Arshad Mahmood


1 March 2017 in Energy Policy
Verified
Journal Article
Open access
KUKafait Ullah
Kafait Ullah
MAMaarten J. Arentsen
Maarten J. Arentsen
JLJon C. Lovett
Jon C. Lovett
The electricity supply sector in Pakistan has performed poorly in recent years. Reforms were introduced in the mid-1990s to improve the sector, but progressed slowly with no significant impacts on pre-reform performance. This study uses new institutional economics as a theoretical basis to elucidate reasons for the failure of power sector reforms in Pakistan to make improvements. Interviews with 23 experts using Q-methodology generated 215 statements that were used as a Q concourse. Of these, 51 statements were selected for the Q sample and ranked by 34 respondents depending on their importance. Analysis revealed four important discourses on the determinants of power sector reform failure in Pakistan. These included weak governance structure, country and sectoral endowments, inefficient regulator and unspecified political institutions or unfriendly political contexts. The study recommends establishment of institutions that support a market based power supply sector and improvements to the contractual arrangements between stakeholders to reduce opportunistic behaviour